{"query_echo":{"q":"","filters":{"analysis_type":["climate risk assessment"]},"warnings":[]},"total":{"value":37,"relation":"eq"},"page":2,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=climate+risk+assessment&page=2","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"gclifun-004934","url":"https://climateinsightsdirectory.org/document/gclifun-004934","title":"Strengthening Climate Resilience of Indonesia’s Public Health System","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2023-06-01","source_url":"https://www.greenclimate.fund/sites/default/files/document/29310-strengthening-climate-resilience-indonesia-s-public-health-system.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project aims to protect essential health services in Indonesia against increasing climate variability and extreme weather events. It targets 80 healthcare facilities and 2 hospitals across 8 vulnerable districts in West Java and East Nusa Tenggara, intending to benefit 609,250 direct beneficiaries. The strategy involves integrating climate-risk data into health governance, upgrading facilities with green technologies (such as solar power and rainwater harvesting), and developing community-led health adaptation plans. The project is funded by a USD 25 million GCF grant and USD 2.04 million in co-financing, implemented by the Indonesian Ministry of Health and Save the Children.","ai_generated":true,"unit":"gclifun-004934#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Indonesia's public health system faces severe restrictions in managing climate-driven burdens due to capacity gaps, a lack of climate-related data for monitoring, and insufficient resilience of healthcare facilities to withstand climatic hazards.","ai_generated":true,"unit":"gclifun-004934#insight-1","date_modified":"2026-10-23"},{"text":"Between 2013 and 2023, Indonesia recorded 1,784 health crises caused by climatic hazards, which resulted in the destruction of healthcare infrastructure and the inability to provide health services.","ai_generated":true,"unit":"gclifun-004934#insight-2","date_modified":"2026-10-23"},{"text":"Climate change is projected to increase the prevalence of water- and vector-borne diseases in Indonesia; by 2045, 11 cities are expected to be highly susceptible to diseases such as dengue, malaria, and diarrhea.","ai_generated":true,"unit":"gclifun-004934#insight-3","date_modified":"2026-10-23"},{"text":"The project targets 8 vulnerable districts in two provinces: West Java (Bandung, Bekasi, Karawang, and Cirebon) and East Nusa Tenggara (West Manggarai, Nagekeo, Ende, and Sikka).","ai_generated":true,"unit":"gclifun-004934#insight-4","date_modified":"2026-10-23"},{"text":"In West Java, the project addresses high vulnerability to coastal floods and storm surges, noting that 98% of villages in the province are located in areas vulnerable to climate change.","ai_generated":true,"unit":"gclifun-004934#insight-5","date_modified":"2026-10-23"},{"text":"East Nusa Tenggara (NTT) is characterized by high climatic risk, with 93% of its villages vulnerable to climate change and a high risk of malaria and dengue case rates.","ai_generated":true,"unit":"gclifun-004934#insight-6","date_modified":"2026-10-23"},{"text":"The project's financial structure consists of a USD 25 million grant from the Green Climate Fund and USD 2.04 million in co-financing, for a total cost of USD 27.04 million.","ai_generated":true,"unit":"gclifun-004934#insight-7","date_modified":"2026-10-23"},{"text":"The initiative aims to directly benefit 609,250 people (approximately 5% of the target area population), including 300,000 women and 51,000 children under 5 years of age.","ai_generated":true,"unit":"gclifun-004934#insight-8","date_modified":"2026-10-23"},{"text":"Proposed infrastructure upgrades for healthcare facilities include solar-powered lighting, water pumps, protective walls, and overhead rainwater harvesting structures to ensure 24/7 water supply.","ai_generated":true,"unit":"gclifun-004934#insight-9","date_modified":"2026-10-23"},{"text":"A significant barrier to resilience is the lack of climate-risk informed data, as climate change factors are not systematically integrated into existing health information systems.","ai_generated":true,"unit":"gclifun-004934#insight-10","date_modified":"2026-10-23"}],"climate_tags":["climate resilience","vector-borne disease","extreme weather event","climate finance","Community based adaptation","solar energy","rainwater harvesting"],"geography_discussed":["Bandung","Bekasi","Karawang","Cirebon","West Manggarai","Nagekeo","Ende","Sikka","Flores Island"],"frame_perspective":[],"analysis_type":["project proposal","climate risk assessment","adaptation strategy"]},{"id":"gclifun-005226","url":"https://climateinsightsdirectory.org/document/gclifun-005226","title":"Heritage Colombia (HECO): Maximizing the Contributions of Sustainably Managed Landscapes in Colombia for Achievement of Climate Goals Colombia","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2023-04-11","source_url":"https://www.greenclimate.fund/sites/default/files/document/fp203-wwf-colombia_0.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The Heritage Colombia (HECO) project is a 10-year initiative designed to protect and restore landscapes in Colombia through a Project Finance for Permanence (PFP) model. It targets five mosaics—Caribbean, San Lucas, Central Andes, Orinoco Transition, and Heart of the Amazon—covering 6.6 million hectares. The project focuses on strengthening governance, establishing participatory climate monitoring systems, and implementing land restoration and rehabilitation to reduce GHG emissions and improve water regulation. It requests USD 43 million from the GCF, complemented by USD 102.2 million in co-financing from the Government of Colombia and WWF. Key goals include the gazettement of the San Lucas Mountains protected area and the expansion of the Sierra Nevada de Santa Marta National Park.","ai_generated":true,"unit":"gclifun-005226#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project expects to reduce, avoid, or remove 46.3 million tCO2eq over its 30-year lifespan, contributing between 13.8% and 17.8% of Colombia's targeted reduction from deforestation by 2030.","ai_generated":true,"unit":"gclifun-005226#insight-1","date_modified":"2026-10-23"},{"text":"The project targets a total of 16,944,180 beneficiaries, with 329,658 direct beneficiaries and 16,614,522 indirect beneficiaries, maintaining a 51% female distribution.","ai_generated":true,"unit":"gclifun-005226#insight-2","date_modified":"2026-10-23"},{"text":"The project utilizes a Project Finance for Permanence (PFP) approach to address a structural financial gap, aiming to secure USD 7.2 million in annual recurring public domestic resources by the end of the 10-year implementation period.","ai_generated":true,"unit":"gclifun-005226#insight-3","date_modified":"2026-10-23"},{"text":"The project will bring 6.6 million hectares under management, representing more than 5.8% of Colombia's territory, across five mosaics: Caribbean, San Lucas, Central Andes, Orinoco Transition, and Heart of the Amazon.","ai_generated":true,"unit":"gclifun-005226#insight-4","date_modified":"2026-10-23"},{"text":"Key land-use interventions include the restoration of 8,536 hectares in eight protected areas and the rehabilitation of 5,912 hectares in nine protected areas using agroforestry and silvopasture.","ai_generated":true,"unit":"gclifun-005226#insight-5","date_modified":"2026-10-23"},{"text":"The project aims to complete the designation and gazettement of the San Lucas Mountains as a new protected area covering 470,856 hectares and expand the Sierra Nevada de Santa Marta National Park by approximately 181,753 hectares.","ai_generated":true,"unit":"gclifun-005226#insight-6","date_modified":"2026-10-23"},{"text":"The project will establish 13 new weather stations and 6 water gauge stations to improve hydro-meteorological data collection and create six environmental early warning systems.","ai_generated":true,"unit":"gclifun-005226#insight-7","date_modified":"2026-10-23"},{"text":"Financial sustainability will be primarily driven by the General System of Royalties (SGR) and the national carbon tax, with the government committing a minimum of USD 3 million per year from carbon tax revenues.","ai_generated":true,"unit":"gclifun-005226#insight-8","date_modified":"2026-10-23"},{"text":"The project identifies significant climate risks, including a 0.198ºC per decade temperature increase from 1980-2011 and increasing variability in precipitation patterns leading to droughts, flooding, and landslides.","ai_generated":true,"unit":"gclifun-005226#insight-9","date_modified":"2026-10-23"},{"text":"The project's total financing is USD 145.2 million, consisting of a USD 43 million GCF grant and USD 102.2 million in co-finance from the Government of Colombia (USD 69.4 million) and WWF (USD 32.8 million).","ai_generated":true,"unit":"gclifun-005226#insight-10","date_modified":"2026-10-23"}],"climate_tags":["climate finance","nature-based solutions","ecosystem-based adaptation","carbon sequestration","deforestation","agroforestry","greenhouse gas monitoring","early warning system","carbon tax"],"geography_discussed":["Caribbean","San Lucas","Central Andes","Orinoco Transition","Heart of the Amazon","Sierra Nevada de Santa Marta National Park"],"frame_perspective":[],"analysis_type":["funding proposal","feasibility study","climate risk assessment"]},{"id":"gclifun-004921","url":"https://climateinsightsdirectory.org/document/gclifun-004921","title":"Adaptation of agricultural value chains to climate change – PrAda II+","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2023-02-06","source_url":"https://www.greenclimate.fund/sites/default/files/document/27920-adaptation-agricultural-value-chains-climate-change-prada-ii_0.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The PrAda II+ project is a proposed five-year initiative in Madagascar designed to transition the agricultural sector toward climate resilience. Focusing on five key value chains—coffee, clove, peanut, pepper, and vanilla—the project targets six regions (Androy, Anosy, Atsimo-Atsinanana, Vatovavy, Fitovinany, and Atsinanana) where poverty is high and climate hazards like droughts and cyclones are frequent. The project employs a three-pronged approach: introducing climate-resilient agricultural (CRA) technologies, expanding financial services (including a public subsidy mechanism via the Agricultural Development Fund), and improving entrepreneurial and institutional environments. It aims to directly benefit 374,800 people and indirectly benefit over 2.5 million others, with a total indicative cost of EUR 54.7 million.","ai_generated":true,"unit":"gclifun-004921#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project targets six regions in Madagascar—Androy, Anosy, Atsimo-Atsinanana, Vatovavy, Fitovinany, and Atsinanana—where high poverty levels and a heavy reliance on agriculture (between 72.3% and 92.4%) increase vulnerability to climate change.","ai_generated":true,"unit":"gclifun-004921#insight-1","date_modified":"2026-10-23"},{"text":"Five specific agricultural value chains (VCs) have been selected for the project due to their economic importance and adaptation potential: coffee, clove, peanut, pepper, and vanilla.","ai_generated":true,"unit":"gclifun-004921#insight-2","date_modified":"2026-10-23"},{"text":"Climate hazards in the target regions include increasing temperatures, more frequent dry spells and droughts, and extreme rainfall and wind events, which negatively impact crop yields and quality.","ai_generated":true,"unit":"gclifun-004921#insight-3","date_modified":"2026-10-23"},{"text":"The project identifies five primary barriers to climate resilience: insufficient weather information, lack of CRA know-how and resilient seeds, inadequate financial services, low professional organization in VCs, and a weak institutional framework.","ai_generated":true,"unit":"gclifun-004921#insight-4","date_modified":"2026-10-23"},{"text":"A central part of the financial strategy is to scale up the Agricultural Development Fund (FDA), a public financing vehicle, by allocating approximately EUR 18 million in grants to vulnerable smallholders for CRA investments.","ai_generated":true,"unit":"gclifun-004921#insight-5","date_modified":"2026-10-23"},{"text":"The project aims to reach 374,800 direct beneficiaries (approximately 89,000 households) and 2,520,054 indirect beneficiaries, with women representing roughly 50% of the direct beneficiaries.","ai_generated":true,"unit":"gclifun-004921#insight-6","date_modified":"2026-10-23"},{"text":"The project's total indicative cost is EUR 54.7 million, with EUR 40 million requested as a grant from the Green Climate Fund and EUR 14.7 million in co-financing, primarily from the German Federal Ministry for Economic Cooperation and Development (BMZ).","ai_generated":true,"unit":"gclifun-004921#insight-7","date_modified":"2026-10-23"},{"text":"The project's implementation is structured around three components: climate-resilient production systems, financial services for CRA and risk transfer, and the creation of an enabling entrepreneurial and institutional environment.","ai_generated":true,"unit":"gclifun-004921#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","climate finance","agroecology","food security","smallholder"],"geography_discussed":["Toamasina"],"frame_perspective":[],"analysis_type":["project proposal","climate risk assessment","socio-economic analysis"]},{"id":"gclifun-006054","url":"https://climateinsightsdirectory.org/document/gclifun-006054","title":"Green Climate Finance Facility for fostering Climate-smart agriculture in Senegal","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2022-06-02","source_url":"https://www.greenclimate.fund/sites/default/files/document/ppf052-lba-senegal.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"La Banque Agricole (LBA) is seeking US$ 646,600 from the Green Climate Fund's Project Preparation Facility to design a large-scale programme aimed at fostering climate-smart agriculture in Senegal. The proposed programme intends to establish a dedicated Line of Credit (LoC) to provide concessional loans to smallholder farmers, MSMEs, and cooperatives for the adoption of CSA practices, such as drip irrigation and biodigesters. The PPF will fund critical preparatory activities, including baseline and market studies, a feasibility study for a digital lending platform (Agricash), a gender assessment, and the development of a climate rationale. The ultimate goal of the full programme is to increase farm productivity and resilience while reducing greenhouse gas emissions by an estimated 3.42 million tCO2e over 20 years, benefiting approximately 307,000 direct beneficiaries.","ai_generated":true,"unit":"gclifun-006054#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Project Preparation Facility (PPF) request seeks US$ 646,600 from the GCF, with an additional US$ 45,000 in counterpart funding from La Banque Agricole (LBA), to complete the design of a full Funding Proposal within 9 to 12 months.","ai_generated":true,"unit":"gclifun-006054#insight-1","date_modified":"2026-10-23"},{"text":"The proposed programme aims to establish a Line of Credit (LoC) facility to provide concessional loans for climate-smart agricultural (CSA) practices, targeting 290,000 small-holder farmers, 16,000 medium-scale farmers, 700 SMEs, 300 service providers, and 50 corporates.","ai_generated":true,"unit":"gclifun-006054#insight-2","date_modified":"2026-10-23"},{"text":"The programme's estimated total cost is EUR 60.3 million, with EUR 31.2 million requested from the GCF (EUR 27 million as a senior loan and EUR 4 million as a grant), and EUR 29.1 million in co-financing from LBA and other local financial institutions (LFIs).","ai_generated":true,"unit":"gclifun-006054#insight-3","date_modified":"2026-10-23"},{"text":"The programme expects to sequester or avoid approximately 3.42 million tCO2e over its 20-year lifespan, with a calculated GCF cost of approximately EUR 9.12 per tCO2e.","ai_generated":true,"unit":"gclifun-006054#insight-4","date_modified":"2026-10-23"},{"text":"Key CSA interventions to be financed include drip irrigation, zero to minimum tillage, organic fertilizers, and the use of biodigesters to replace fuel wood and agrochemical fertilizers.","ai_generated":true,"unit":"gclifun-006054#insight-5","date_modified":"2026-10-23"},{"text":"The programme will pilot a digital mobile lending component using LBA's 'Agricash' platform to increase financial inclusion for rural farmers and reduce delivery costs for financial institutions.","ai_generated":true,"unit":"gclifun-006054#insight-6","date_modified":"2026-10-23"},{"text":"The project targets a gender-inclusive lending ratio, with 40% of loans intended for women-led MSMEs, 30% for youth-led MSMEs, and 30% for male-led MSMEs.","ai_generated":true,"unit":"gclifun-006054#insight-7","date_modified":"2026-10-23"},{"text":"Senegal's agricultural sector is highly vulnerable to climate change, with mean annual temperatures increasing by 1.6°C since 1950 and a 30% reduction in rainfall observed between 1950 and 2000.","ai_generated":true,"unit":"gclifun-006054#insight-8","date_modified":"2026-10-23"},{"text":"Financial barriers to CSA adoption include high delivery costs for banks, a perception of small-scale agriculture as too risky, and a lack of specialized loan officers capable of farm-level cash flow projections.","ai_generated":true,"unit":"gclifun-006054#insight-9","date_modified":"2026-10-23"}],"climate_tags":["Climate-smart agriculture","climate finance","greenhouse gas emissions","carbon sequestration","climate change adaptation","climate change mitigation","agroforestry","smallholder"],"geography_discussed":["West Africa","Dakar"],"frame_perspective":[],"analysis_type":["project proposal","financial feasibility analysis","climate risk assessment"]},{"id":"iisd-002859","url":"https://climateinsightsdirectory.org/document/iisd-002859","title":"Farming the Future: Agriculture and climate change on the Canadian Prairies","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2021-11","source_url":"https://www.iisd.org/system/files/2021-11/farming-future-agriculture-climate-change-canadian-prairies.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the intersection of climate change and agriculture in Alberta, Saskatchewan, and Manitoba. It highlights that while the Prairies are warming faster than most of Canada, leading to increased risks of drought, flooding, and pests, the agricultural sector also contributes significantly to national emissions, particularly through nitrogen fertilizer and livestock. The authors argue that current federal and provincial policies lack concrete sectoral targets and comprehensive strategies, recommending a shift toward agroecology, reinstated public extension services, and targeted financial incentives for beneficial management practices to ensure long-term viability.","ai_generated":true,"unit":"iisd-002859#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Agricultural greenhouse gas (GHG) emissions in the Canadian Prairies are significant and trending upward, representing 64% of Canada's total agricultural emissions and over 6% of the country's total emissions. Since 1990, emissions have increased by 25% in Alberta, 81% in Saskatchewan, and 32% in Manitoba.","ai_generated":true,"unit":"iisd-002859#insight-1","date_modified":"2026-10-23"},{"text":"The sources of Prairie agricultural emissions are primarily divided between animal production (45%), crop production (35%), and on-farm fuel use (20%). Specifically, enteric fermentation in beef and dairy cattle accounts for 88% of Canada-wide agricultural methane emissions.","ai_generated":true,"unit":"iisd-002859#insight-2","date_modified":"2026-10-23"},{"text":"Climate change is increasing the vulnerability of Prairie producers through more frequent and intense extreme weather events. Projections include longer growing seasons but also a paradoxical increase in both drought and flooding risks, alongside the northward migration of pests and diseases such as cereal rusts and striped flea beetles.","ai_generated":true,"unit":"iisd-002859#insight-3","date_modified":"2026-10-23"},{"text":"Canadian agricultural policy is hampered by three fundamental barriers: the absence of concrete national or provincial emissions reduction targets for the sector, a lack of comprehensive cross-departmental planning and strategy, and insufficient program evaluation and transparency regarding environmental indicators.","ai_generated":true,"unit":"iisd-002859#insight-4","date_modified":"2026-10-23"},{"text":"The report identifies a tension between Canada's international commitments to biodiversity and climate change and its domestic focus on increasing conventional agricultural production and exports. For example, the European Union's \"Farm-to-Fork\" strategy may impose sustainable labelling and certification requirements that could challenge Canadian producers' market access.","ai_generated":true,"unit":"iisd-002859#insight-5","date_modified":"2026-10-23"},{"text":"Beneficial management practices (BMPs) can reduce emissions and increase resilience, but many are not economically viable without policy support. Recommended practices include \"4R Stewardship\" for nitrogen fertilizer, cover cropping, rotational grazing to sequester carbon, and the use of biodigesters for manure management.","ai_generated":true,"unit":"iisd-002859#insight-6","date_modified":"2026-10-23"},{"text":"The report advocates for an agroecology approach, which applies ecological principles to sustainable food systems. This includes reinstating public extension services and research, introducing crop insurance discounts for BMPs, and facilitating payments for ecosystem services, such as the Alternative Land Use Service (ALUS) model.","ai_generated":true,"unit":"iisd-002859#insight-7","date_modified":"2026-10-23"}],"climate_tags":["greenhouse gas emissions","climate change adaptation","agroecology","methane emissions","carbon sequestration","ecosystem service","food system","climate finance","biodiversity loss","precision agriculture"],"geography_discussed":["Canada","European Union","British Columbia"],"frame_perspective":[],"analysis_type":["policy assessment","climate risk assessment","emissions analysis"]},{"id":"iisd-003447","url":"https://climateinsightsdirectory.org/document/iisd-003447","title":"A Sustainable Asset Valuation of the Kakono Hydropower Plant in Tanzania","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2021-07","source_url":"https://www.iisd.org/system/files/2021-07/savi-kakono-hydropower-plant-tanzania.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The assessment finds that the Kakono Hydropower Plant (HPP) is the most sustainable and cost-effective energy option for northwestern Tanzania, demonstrating high climate resilience and the highest net societal benefits. Compared to a utility-scale diesel plant and a gas-solar PV portfolio, the HPP offers the lowest levelized cost of electricity (LCOE) and the most attractive net present value (NPV), particularly when environmental and social externalities are internalized. While the HPP causes some habitat loss and carbon emissions during construction and reservoir operation, these are offset by significant employment generation and the avoidance of high fossil fuel emissions. The report concludes that the HPP is a viable investment for multilateral banks like the African Development Bank, provided that mitigation strategies for GHG emissions and habitat loss are implemented.","ai_generated":true,"unit":"iisd-003447#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Kakono Hydropower Plant (HPP) provides the highest net societal benefits among the assessed alternatives, with a SAVi net result of USD 124 million under the RCP 4.5 climate scenario, significantly outperforming the gas-solar PV portfolio (USD 63.5 million) and the diesel power plant (negative USD 1,265 million).","ai_generated":true,"unit":"iisd-003447#insight-1","date_modified":"2026-10-23"},{"text":"The Kakono HPP is the most affordable energy solution for Tanzania, with a SAVi Levelized Cost of Electricity (LCOE) of 69.98 USD/MWh, which is lower than its conventional LCOE of 71.36 USD/MWh due to positive externalities from employment and discretionary spending.","ai_generated":true,"unit":"iisd-003447#insight-2","date_modified":"2026-10-23"},{"text":"The Kakono HPP is considered climate-resilient, as its costs, revenues, and externalities show minimal variation across four different climate scenarios (RCP 2.6, 4.5, 6.0, and 8.5).","ai_generated":true,"unit":"iisd-003447#insight-3","date_modified":"2026-10-23"},{"text":"In contrast to the HPP, the utility-scale diesel power plant is highly vulnerable to climate change; higher air temperatures decrease thermal efficiency, leading to increased fuel expenditures and higher carbon emissions, particularly in the RCP 8.5 scenario.","ai_generated":true,"unit":"iisd-003447#insight-4","date_modified":"2026-10-23"},{"text":"Financial analysis indicates the Kakono HPP is a highly attractive investment with a Project NPV of USD 191.92 million (baseline) and a Project IRR of 8.93% under the RCP 4.5 scenario, results which improve slightly when externalities are internalized.","ai_generated":true,"unit":"iisd-003447#insight-5","date_modified":"2026-10-23"},{"text":"The construction of the Kakono HPP is projected to reduce total carbon storage in the affected area by more than 4% (approximately 98,383 Mt) and decrease mean habitat quality by more than 8% (from 0.26 to 0.23).","ai_generated":true,"unit":"iisd-003447#insight-6","date_modified":"2026-10-23"},{"text":"The gas-solar PV portfolio is a viable alternative but is less appealing from a societal perspective than the HPP, as its Project NPV decreases by approximately 40% when negative externalities from fossil fuel carbon emissions are internalized.","ai_generated":true,"unit":"iisd-003447#insight-7","date_modified":"2026-10-23"},{"text":"The report recommends that the African Development Bank (AfDB) and other investors adopt sustainability-adjusted cost indicators and conduct ex-ante climate risk assessments to avoid creating stranded assets and to ensure the ecological integrity of upstream areas.","ai_generated":true,"unit":"iisd-003447#insight-8","date_modified":"2026-10-23"}],"climate_tags":["hydropower","photovoltaics","climate resilience","greenhouse gas emissions","carbon sequestration","natural capital"],"geography_discussed":["Missenyi District","Rwanda","Burundi","Uganda"],"frame_perspective":[],"analysis_type":["cost-benefit analysis","financial analysis","climate risk assessment","spatial analysis"]},{"id":"gclifun-004897","url":"https://climateinsightsdirectory.org/document/gclifun-004897","title":"Scaling up regional action to reduce deforestation and increase resilience to climate change under the framework of the Leticia Pact for the Amazon (Bolivia, Brazil, Colombia, Ecuador and Peru)","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2020-12-21","source_url":"https://www.greenclimate.fund/sites/default/files/document/25260-scaling-regional-action-reduce-deforestation-and-increase-resilience-climate-change-under.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The proposed programme aims to reduce greenhouse gas emissions by 31.6 million tCO2eq and increase the resilience of 3.8 million people in the Amazon basin. It focuses on four components: strengthening monitoring and early warning systems, expanding sustainable land use and finance, empowering indigenous peoples and local communities for climate adaptation, and fostering regional cooperation among the five participating countries. The programme seeks USD 100 million in GCF grants to scale up successful national strategies and mobilize private sector investment through mechanisms like the Green Business Facility.","ai_generated":true,"unit":"gclifun-004897#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The programme targets a reduction of 31.6 million tCO2eq in greenhouse gas emissions over its 6-year lifespan by improving the management of at least 35 million hectares of forest.","ai_generated":true,"unit":"gclifun-004897#insight-1","date_modified":"2026-10-23"},{"text":"The initiative aims to increase the climate resilience of 3.8 million rural and urban inhabitants and support diversified, climate-resilient livelihood options for at least 320,000 vulnerable people.","ai_generated":true,"unit":"gclifun-004897#insight-2","date_modified":"2026-10-23"},{"text":"The Amazon is approaching a critical tipping point where the loss of 20-25% of original forest cover could permanently transform the dense forest into a savannah, potentially releasing approximately 17 Gt of CO2eq.","ai_generated":true,"unit":"gclifun-004897#insight-3","date_modified":"2026-10-23"},{"text":"Indigenous territories are highly effective at reducing deforestation, with rates up to 6 times lower than the average for areas outside these territories and protected areas.","ai_generated":true,"unit":"gclifun-004897#insight-4","date_modified":"2026-10-23"},{"text":"The programme will implement a Green Business Facility (GBF) model, first established in Peru, to catalyze private investment in low-emissions land use and sustainable bio-businesses across the participating countries.","ai_generated":true,"unit":"gclifun-004897#insight-5","date_modified":"2026-10-23"},{"text":"Climate change is projected to cause significant agricultural disruptions; for example, over 30% of coffee-growing areas in the northern Amazon of Peru may become unsuitable for production by 2030.","ai_generated":true,"unit":"gclifun-004897#insight-6","date_modified":"2026-10-23"},{"text":"The programme identifies a critical need for Near-Real Time (NRT) monitoring and early warning systems to combat illegal logging, land grabbing, and forest fires, which have been exacerbated by the COVID-19 pandemic.","ai_generated":true,"unit":"gclifun-004897#insight-7","date_modified":"2026-10-23"},{"text":"The total indicative cost of the programme is USD 133 million, with USD 100 million requested as a grant from the GCF and USD 33 million in indicative co-financing.","ai_generated":true,"unit":"gclifun-004897#insight-8","date_modified":"2026-10-23"}],"climate_tags":["deforestation","forest degradation","greenhouse gas emissions","climate resilience","Reducing emissions from deforestation and forest degradation","indigenous people","agroforestry","climate finance","early warning system","forest fire","nature-based solutions","carbon sequestration"],"geography_discussed":["Andes","Putumayo basin","Leticia"],"frame_perspective":[],"analysis_type":["programme design","climate risk assessment","financial planning"]},{"id":"gclifun-006150","url":"https://climateinsightsdirectory.org/document/gclifun-006150","title":"Enhancing Climate Information Systems for Resilient Development in Liberia (Liberia CIS)","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2020-11-13","source_url":"https://www.greenclimate.fund/sites/default/files/document/sap018-afdb-liberia.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project seeks USD 10 million in GCF grants to modernize Liberia's meteorological and hydrological services. It focuses on installing automated weather stations, weather radar, and creating a Forecast-based Financing (FbF) mechanism to protect vulnerable populations, particularly in agriculture and coastal regions, from increasing floods and temperature extremes.","ai_generated":true,"unit":"gclifun-006150#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Liberia faces significant climate risks, with models projecting a temperature rise of 1.5 to 4.5 °C by 2100 and increasing trends in rainfall that heighten the likelihood of frequent flood events in low-lying coastal areas.","ai_generated":true,"unit":"gclifun-006150#insight-1","date_modified":"2026-10-23"},{"text":"The country's current climate information capacity is estimated at 46.3%, which remains substantially lower than the pre-civil war period (a difference of 53.7%).","ai_generated":true,"unit":"gclifun-006150#insight-2","date_modified":"2026-10-23"},{"text":"Climate hazards caused an estimated annual loss of US$ 7.44 million in 2017, and cumulative potential losses are projected to increase from US$ 55 million in 2021 to US$ 136 million by 2030.","ai_generated":true,"unit":"gclifun-006150#insight-3","date_modified":"2026-10-23"},{"text":"The project will implement a Forecast-based Financing (FbF) mechanism to enable early actions at community and government levels, funded and implemented before a climate shock occurs to minimize loss and damage.","ai_generated":true,"unit":"gclifun-006150#insight-4","date_modified":"2026-10-23"},{"text":"Technical infrastructure upgrades include the procurement of 40 Automatic Weather Stations (20 agro-meteorological and 20 hydro-meteorological), 20 manual weather stations, and the installation of a weather radar at Roberts International Airport.","ai_generated":true,"unit":"gclifun-006150#insight-5","date_modified":"2026-10-23"},{"text":"The project aims to benefit approximately 2,312,400 direct beneficiaries and 5,395,600 indirect beneficiaries by 2040, with a specific focus on women who make up a large portion of the agricultural workforce.","ai_generated":true,"unit":"gclifun-006150#insight-6","date_modified":"2026-10-23"},{"text":"To ensure long-term sustainability, the project will establish the Liberian Climate Change Trust Fund (LCCTF), which will be capitalized by GCF and replenished through cost recovery from corporate clients in the aviation, marine, and commercial farming sectors.","ai_generated":true,"unit":"gclifun-006150#insight-7","date_modified":"2026-10-23"},{"text":"The project will support the legislative transition of the Liberia Meteorological Service (LMS) and Liberia Hydrological Service (LHS) into a single semi-autonomous government agency called the Liberia Meteorological and Hydrological Service (LMHS).","ai_generated":true,"unit":"gclifun-006150#insight-8","date_modified":"2026-10-23"}],"climate_tags":["early warning system","climate change adaptation","disaster risk reduction","climate finance","food security","coastal erosion","flood"],"geography_discussed":["Sierra Leone","Guinea","Ivory Coast","Monrovia","Nimba"],"frame_perspective":[],"analysis_type":["funding proposal","climate risk assessment","institutional capacity analysis"]},{"id":"gclifun-004881","url":"https://climateinsightsdirectory.org/document/gclifun-004881","title":"Public-Social-Private Partnerships for Ecologically-Sound Agriculture and Resilient Livelihood in Northern Tonle Sap Basin (PEARL) Cambodia","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2020-08-20","source_url":"https://www.greenclimate.fund/sites/default/files/document/23210-public-social-private-partnerships-ecologically-sound-agriculture-and-resilient-livelihood.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The PEARL project aims to protect the livelihoods of approximately 550,000 farmers and value-chain actors in Cambodia's Northern Tonle Sap Basin (NTSB) from climate-driven droughts and floods. By shifting focus from conventional rice to high-value, drought-tolerant crops like cashew, mango, organic rice, and vegetables, the project seeks to increase adaptive capacity and income. The strategy employs Public-Social-Private Partnerships (PSPPs) to remove barriers to premium markets, utilizing certification schemes (e.g., CamGAP, GI, organic) and introducing advanced agro-hydrometeorological early warning systems. The project is budgeted at US$ 40.635 million, with US$ 34.485 million requested as a grant from the Green Climate Fund.","ai_generated":true,"unit":"gclifun-004881#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Northern Tonle Sap Basin (NTSB) is highly vulnerable to climate change, characterized by increasing temperatures and shifts in precipitation that lead to more severe droughts and intense wet-season rainfall.","ai_generated":true,"unit":"gclifun-004881#insight-1","date_modified":"2026-10-23"},{"text":"Conventional rain-fed rice production in the NTSB is projected to see a significant decline in agro-climatic suitability by 2080 without adaptation measures.","ai_generated":true,"unit":"gclifun-004881#insight-2","date_modified":"2026-10-23"},{"text":"High-value upland crops such as cashew and mango, as well as organic rice and vegetables, are identified as climate-resilient alternatives to conventional rice that can increase the adaptive capacity of farmers.","ai_generated":true,"unit":"gclifun-004881#insight-3","date_modified":"2026-10-23"},{"text":"Smallholder farmers and SMEs face five critical barriers to climate adaptation: lack of reliable agro-hydrometeorological forecasting, limited risk awareness, lack of technical/financial support for diversified agriculture, poor environmental management, and limited institutional coordination.","ai_generated":true,"unit":"gclifun-004881#insight-4","date_modified":"2026-10-23"},{"text":"The project will implement a Public-Social-Private Partnership (PSPP) model to leverage private investment and create shared social value, focusing on market-based incentives through certification schemes like CamGAP, Geographical Indication (GI), and organic certification.","ai_generated":true,"unit":"gclifun-004881#insight-5","date_modified":"2026-10-23"},{"text":"A core technical component of the project is the establishment of a sector-focused early warning system to provide location-specific forecasts for drought, rainfall, pests, and diseases.","ai_generated":true,"unit":"gclifun-004881#insight-6","date_modified":"2026-10-23"},{"text":"The project targets approximately 550,000 farmers and value-chain actors, and more than 500,000 consumers, representing about 7% of Cambodia's population.","ai_generated":true,"unit":"gclifun-004881#insight-7","date_modified":"2026-10-23"},{"text":"The total indicative cost of the project is US$ 40,635,000, with a requested GCF grant of US$ 34,485,000 and US$ 6.15 million in indicative co-financing.","ai_generated":true,"unit":"gclifun-004881#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate change adaptation","early warning system","sustainable agriculture","organic agriculture","climate finance","smallholder","food security","agroforestry"],"geography_discussed":["Oddar Meanchey Province","Kampong Thom Province","Preah Vihear Province","Siem Reap Province","Phnom Penh"],"frame_perspective":[],"analysis_type":["project proposal","climate risk assessment","market analysis"]},{"id":"gclifun-004888","url":"https://climateinsightsdirectory.org/document/gclifun-004888","title":"Promoting transformative and climate resilient agriculture for sustainable livelihoods and food security in Nepal (CRA)","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2020-05-08","source_url":"https://www.greenclimate.fund/sites/default/files/document/24550-promoting-transformative-and-climate-resilient-agriculture-sustainable-livelihoods-and-food.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project aims to support 603,000 people in six districts of the Koshi River Basin to transition from climate-vulnerable subsistence farming to sustainable, market-driven systems. It focuses on scaling up climate-resilient agriculture (CRA) practices, enhancing agrometeorological and market advisory services, and establishing local value chain networks. With a total indicative cost of USD 43.1 million, the project targets vulnerable groups, particularly women, to improve food security and livelihoods in the face of increasing temperature trends and precipitation variability.","ai_generated":true,"unit":"gclifun-004888#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project targets 603,000 direct beneficiaries (51% women) across 115,000 households, covering approximately 53,000 hectares of agricultural, livestock, and fishery production areas.","ai_generated":true,"unit":"gclifun-004888#insight-1","date_modified":"2026-10-23"},{"text":"The Koshi River Basin (KRB) faces significant climate risks, including a statistically significant positive trend in maximum and minimum temperatures from 1971 to 2014, and a combined threat of dry-season water scarcity and monsoon flooding.","ai_generated":true,"unit":"gclifun-004888#insight-2","date_modified":"2026-10-23"},{"text":"Climate change is projected to cause altitudinal shifts that will reduce the suitability of key crops in the KRB, specifically macadamia and juglans, as well as coffee and banana across Nepal.","ai_generated":true,"unit":"gclifun-004888#insight-3","date_modified":"2026-10-23"},{"text":"The project identifies five primary barriers to climate resilience in the KRB: lack of information on climate risks, limited access to financial services, weak market infrastructure, limited institutional capacity within the Ministry of Agriculture and Livestock Development (MoALD), and poor targeting of marginalized groups.","ai_generated":true,"unit":"gclifun-004888#insight-4","date_modified":"2026-10-23"},{"text":"The project is structured into three components: scaling up climate-resilient farming practices (40% budget), strengthening climate and market foresight services (49% budget), and creating an enabling environment for market-driven agriculture (11% budget).","ai_generated":true,"unit":"gclifun-004888#insight-5","date_modified":"2026-10-23"},{"text":"Proposed interventions include the use of stress-tolerant varieties, improved water conservation, the establishment of automated weather stations, and the creation of a forecast-based financing (FBF) scheme for early warning and action.","ai_generated":true,"unit":"gclifun-004888#insight-6","date_modified":"2026-10-23"},{"text":"The project will be implemented in six specific districts: Udayapur, Saptari, Sunsari, Sindhuli, Ramechhap, and Dolakha, selected based on their high exposure to climate risks and agricultural potential.","ai_generated":true,"unit":"gclifun-004888#insight-7","date_modified":"2026-10-23"},{"text":"The total indicative project cost is USD 43.1 million, with USD 34.6 million (80%) requested as a grant from the Green Climate Fund and USD 8.5 million (20%) provided as co-financing from the Government of Nepal.","ai_generated":true,"unit":"gclifun-004888#insight-8","date_modified":"2026-10-23"}],"climate_tags":["climate finance","food security","water management","Climate risk assessment"],"geography_discussed":["Udayapur District","Saptari District","Sunsari District","Sindhuli District","Ramechhap District","Dolakha District","Gandaki River Basin"],"frame_perspective":[],"analysis_type":["project proposal","climate risk assessment","policy alignment analysis"]},{"id":"gclifun-004860","url":"https://climateinsightsdirectory.org/document/gclifun-004860","title":"Climate resilient development in refugee camps and host communities in Kigoma region, Tanzania","publisher":{"name":"Green Climate Fund","organization":"green-climate-fund"},"document_type":"report","language":"en","date_published":"2019-03-18","source_url":"https://www.greenclimate.fund/sites/default/files/document/21880-climate-resilient-development-refugee-camps-and-host-communities-kigoma-region-tanzania.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The project aims to support approximately 380,500 direct beneficiaries in the Kigoma region of Tanzania, focusing on Nduta, Mtendeli, and Nyarugusu refugee camps and surrounding host communities. It addresses risks including rising temperatures, erratic rainfall, and increased flooding, which threaten subsistence agriculture and ecosystem services. The proposed interventions include participatory climate-resilient land use planning, community-based forest management, agroforestry, and the promotion of climate-resilient agricultural practices and diversified livelihoods such as beekeeping and mushroom cultivation. The project will be executed by UNHCR and overseen by UNEP, with a total indicative cost of USD 31,985,328, requesting USD 18,835,253 from the Green Climate Fund.","ai_generated":true,"unit":"gclifun-004860#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Kigoma is projected to experience significant temperature increases and more extreme heat by 2050, with maximum temperatures rising between 1.6°C and 2.4°C and the number of days over 30°C increasing from approximately 10 to between 80 and 150 days per year.","ai_generated":true,"unit":"gclifun-004860#insight-1","date_modified":"2026-10-23"},{"text":"Precipitation patterns in Kigoma are becoming more volatile; while total annual rainfall is projected to increase by approximately 7-9% by 2050, hourly peak precipitation intensity is expected to rise by 18%, increasing the frequency and intensity of floods.","ai_generated":true,"unit":"gclifun-004860#insight-2","date_modified":"2026-10-23"},{"text":"Climate variability has already severely impacted food security in the region, with maize harvests in Kigoma decreasing by 39.6% to 53.3% over the last 20 years, and further declines of 17% are expected.","ai_generated":true,"unit":"gclifun-004860#insight-3","date_modified":"2026-10-23"},{"text":"The presence of refugee camps has accelerated deforestation in the region; the reopening of the Nduta and Mtendeli camps in 2015 and 2016 coincided with tree cover losses of 44% and 48%, respectively.","ai_generated":true,"unit":"gclifun-004860#insight-4","date_modified":"2026-10-23"},{"text":"The project proposes a multi-pronged adaptation strategy consisting of four outputs: participatory land use planning, restoration of degraded ecosystems through forestry and agroforestry, promotion of resilient agriculture and livelihood diversification, and the mainstreaming of adaptation into national and humanitarian policies.","ai_generated":true,"unit":"gclifun-004860#insight-5","date_modified":"2026-10-23"},{"text":"Specific infrastructure interventions to combat erosion and flooding include the construction of approximately 18,800 square meters of stone-pitched drainage channels, 60 weirs, and stone-filled gabions.","ai_generated":true,"unit":"gclifun-004860#insight-6","date_modified":"2026-10-23"},{"text":"To improve water security for agriculture, the project plans to implement micro-rainwater harvesting systems, including 23 micro-dams, 125 unlined water-pans, 125 lined micro-ponds, and 8,200 micro-drip irrigation kits.","ai_generated":true,"unit":"gclifun-004860#insight-7","date_modified":"2026-10-23"},{"text":"The project will utilize Savings Associations as a primary delivery mechanism for agricultural inputs and financial services, aiming to create a self-sustaining funding model where profits are channeled back into the associations.","ai_generated":true,"unit":"gclifun-004860#insight-8","date_modified":"2026-10-23"},{"text":"The project targets approximately 380,500 direct beneficiaries, representing 18% of the population in the Kigoma region, and expects to protect or strengthen 12,500 hectares of ecosystems.","ai_generated":true,"unit":"gclifun-004860#insight-9","date_modified":"2026-10-23"},{"text":"The project aims to create a global paradigm shift by integrating the adaptation needs of refugees and host communities, as refugees are typically excluded from national adaptation plans and often flee to the most climate-vulnerable nations.","ai_generated":true,"unit":"gclifun-004860#insight-10","date_modified":"2026-10-23"}],"climate_tags":["ecosystem-based adaptation","agroforestry","land-use planning","deforestation","climate finance","soil erosion","rainwater harvesting"],"geography_discussed":["Nduta Refugee Camp","Mtendeli Refugee Camp","Nyarugusu Camp","Kibondo District","Kakonko District"],"frame_perspective":[],"analysis_type":["project proposal","climate risk assessment","adaptation strategy"]},{"id":"wwf-000251","url":"https://climateinsightsdirectory.org/document/wwf-000251","title":"Assessing Climate Risk in Myanmar","publisher":{"name":"WWF International","organization":"wwf-international"},"document_type":"executive summary","language":"en","date_published":"2017-03","source_url":"https://www.worldwildlife.org/documents/418/1qs26pdotb_climate_risk_assessment_summary_eng.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report assesses current and future climate risks in Myanmar, projecting significant temperature increases, variable rainfall changes, and rising sea levels by mid-century. It highlights vulnerabilities across biodiversity, health, agriculture, and infrastructure, while demonstrating how the Myanmar Climate Change Alliance (MCCA) uses vulnerability assessments in the Ayeyarwady Delta and Central Dry Zone to guide local adaptation planning.","ai_generated":true,"unit":"wwf-000251#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Myanmar's average annual temperatures are projected to rise by 0.7°C–1.1°C during the 2020s and accelerate to 1.3°C–2.7°C by the middle of the 21st century. The most significant warming is expected in the eastern and northern hilly regions, where hot season average temperatures could rise by up to 3°C.","ai_generated":true,"unit":"wwf-000251#insight-1","date_modified":"2026-10-23"},{"text":"Extreme heat is projected to increase dramatically; while Myanmar averaged about one day of extreme heat per month between 1981 and 2010, future projections suggest this could increase to between four and 17 days per month. April is expected to see the highest increase in these extreme heat days.","ai_generated":true,"unit":"wwf-000251#insight-2","date_modified":"2026-10-23"},{"text":"Rainfall projections indicate an increase in precipitation during the monsoon season, which may increase flooding in some regions. However, projections for the hot and cool seasons are uncertain, with both increases and decreases possible.","ai_generated":true,"unit":"wwf-000251#insight-3","date_modified":"2026-10-23"},{"text":"Sea levels along the Myanmar coastline are projected to rise by 5 cm to 13 cm in the 2020s, 20 cm to 41 cm in the 2050s, and 37 cm to 83 cm in the 2080s. A 0.5 m rise could cause the coastline to retreat by approximately 10 km in low-lying areas such as the Ayeyarwady Delta.","ai_generated":true,"unit":"wwf-000251#insight-4","date_modified":"2026-10-23"},{"text":"Historical data from 1981 to 2010 shows that Myanmar's climate is already changing, with average temperatures increasing by 0.25°C and daily maximum temperatures rising faster in inland regions (0.57°C per decade) than in coastal areas (0.23°C per decade).","ai_generated":true,"unit":"wwf-000251#insight-5","date_modified":"2026-10-23"},{"text":"While the total number of tropical cyclones reaching Myanmar has increased since 1990, future projections on cyclone frequency and severity remain uncertain. However, climate change is expected to increase maximum wind speeds and precipitation intensity for cyclones that do make landfall.","ai_generated":true,"unit":"wwf-000251#insight-6","date_modified":"2026-10-23"},{"text":"The Myanmar Climate Change Alliance (MCCA) is implementing a three-phase adaptation approach in the Pakokku (Central Dry Zone) and Labutta (Ayeyarwady Delta) townships, using vulnerability assessments to prioritize healthy ecosystems, a resilient economy, and resilient infrastructure.","ai_generated":true,"unit":"wwf-000251#insight-7","date_modified":"2026-10-23"}],"climate_tags":["climate change","sea level rise","extreme heat","tropical cyclone","biodiversity","ecosystem service","coastal flood","agriculture","water resource","infrastructure","public health","climate change adaptation","vulnerability assessment","ecosystem-based adaptation"],"geography_discussed":["Irrawaddy Delta","Central Dry Zone","Pakokku","Labutta","Bay of Bengal"],"frame_perspective":[],"analysis_type":["climate risk assessment","future projections","vulnerability analysis"]},{"id":"ucs-000191","url":"https://climateinsightsdirectory.org/document/ucs-000191","title":"The climate risks of natural gas","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"fact sheet","language":"en","date_published":"2014-02-03","source_url":"https://www.ucs.org/resources/climate-risks-natural-gas","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The document examines the risks of relying on natural gas for US electricity, noting that while it burns cleaner than coal, its expected replacement of nuclear power and its role in meeting rising electricity demand would prevent necessary emission cuts. It highlights that methane leaks from production and transport further erode climate benefits, and suggests that a transition to 80% renewable energy by 2050 is a viable, more cost-effective alternative.","ai_generated":true,"unit":"ucs-000191#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"A natural gas-dominated electricity system is unlikely to reduce carbon emissions sufficiently because natural gas is projected to replace not only coal but also low-carbon nuclear power, while overall electricity demand is expected to grow from 4,054 Terrawatt-hours in 2012 to 5,222 Terrawatt-hours by 2050.","ai_generated":true,"unit":"ucs-000191#insight-1","date_modified":"2026-10-23"},{"text":"To mitigate the worst effects of climate change, the National Research Council (NRC) suggests a carbon budget requiring a 90 percent reduction in U.S. power sector carbon emissions by 2050.","ai_generated":true,"unit":"ucs-000191#insight-2","date_modified":"2026-10-23"},{"text":"Methane leakage from pipelines and drilling sites poses a significant climate risk, as methane is 34 times more potent than carbon dioxide. It is estimated that 1% to 9% of produced natural gas escapes into the atmosphere, which is equivalent to the emissions of 35 to 314 coal power plants of 600 megawatts each.","ai_generated":true,"unit":"ucs-000191#insight-3","date_modified":"2026-10-23"},{"text":"Analysis by the Union of Concerned Scientists (UCS) indicates that relying on energy efficiency and renewables is more cost-effective for reducing emissions than scenarios relying heavily on nuclear power or carbon capture and storage (CCS). Furthermore, the National Renewable Energy Laboratory found that current renewable technologies could reliably and affordably provide 80% of U.S. electricity by 2050.","ai_generated":true,"unit":"ucs-000191#insight-4","date_modified":"2026-10-23"}],"climate_tags":["natural gas","methane leak","carbon dioxide emissions","electric power industry","renewable energy","nuclear power","coal-fired power station","carbon capture and storage","energy efficiency","energy storage"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["policy analysis","climate risk assessment"]},{"id":"iisd-001266","url":"https://climateinsightsdirectory.org/document/iisd-001266","title":"CLIMATE RISK MANAGEMENT FOR WATER AND AGRICULTURE IN THE DOMINICAN REPUBLIC: FOCUS ON THE YAQUE DEL SUR BASIN","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2013-01","source_url":"https://www.iisd.org/system/files/publications/crm_dom_republic.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report identifies significant climate risks in the Yaque del Sur watershed, where high exposure to hurricanes, floods, and droughts intersects with high poverty and low adaptive capacity. Modelling suggests that by 2050, the annual water deficit could reach 519 million m3, threatening key crops like maize and tomatoes. While the Dominican Republic has established disaster risk and climate change frameworks, the report finds a lack of coordination between these structures and deficiencies in data sharing. Recommended priority actions include shifting to drought-resilient crops (sorghum and mangoes), increasing irrigation efficiency from 20% to 45%, and implementing payment for ecosystem services to promote reforestation in the upper watershed.","ai_generated":true,"unit":"iisd-001266#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The Yaque del Sur watershed is the third-largest in the Dominican Republic and faces extreme water stress, serving as one of the country's poorest regions where agriculture is a primary livelihood.","ai_generated":true,"unit":"iisd-001266#insight-1","date_modified":"2026-10-23"},{"text":"Observed climate trends since 1960 show an average temperature increase of approximately 0.45°C and a disputed rainfall decrease of about 4.5% per decade.","ai_generated":true,"unit":"iisd-001266#insight-2","date_modified":"2026-10-23"},{"text":"Water scarcity is projected to worsen significantly, with the model estimating a water deficit that could increase from 343 million m3 in 2010 to 519 million m3 by 2050.","ai_generated":true,"unit":"iisd-001266#insight-3","date_modified":"2026-10-23"},{"text":"Key crops in the region, specifically tomatoes, maize, and chilies, are expected to face increased water deficits of approximately 200 mm over their crop cycles due to rising temperatures and decreasing rainfall.","ai_generated":true,"unit":"iisd-001266#insight-4","date_modified":"2026-10-23"},{"text":"Adaptive capacity in the Yaque del Sur watershed is insufficient due to low income, low education levels, and lack of land ownership, which hinders investment in sustainable farming.","ai_generated":true,"unit":"iisd-001266#insight-5","date_modified":"2026-10-23"},{"text":"There is a critical lack of formal coordination between the National System for Disaster Prevention, Mitigation and Response (SNPMRD) and the agencies responsible for climate change adaptation, such as the Council for Climate Change and the Clean Development Mechanism (CNCCMDL).","ai_generated":true,"unit":"iisd-001266#insight-6","date_modified":"2026-10-23"},{"text":"Climate and hazard data in the Dominican Republic are patchy, inconsistent, and difficult to access because different agencies, such as INDRHI and the National Meteorological Office, do not openly share information.","ai_generated":true,"unit":"iisd-001266#insight-7","date_modified":"2026-10-23"},{"text":"Replacing maize with sorghum and plantains with mangoes in the lower watershed could reduce crop evapotranspiration by 16% for the entire watershed, saving approximately 87.2 million m3 of water in specific sub-catchment areas.","ai_generated":true,"unit":"iisd-001266#insight-8","date_modified":"2026-10-23"},{"text":"Increasing irrigation efficiency from the current 20% to 45% could reduce agricultural water demand by approximately 250 million m3 annually, potentially reducing the projected 2050 water deficit by about 50% in large-scale irrigation areas.","ai_generated":true,"unit":"iisd-001266#insight-9","date_modified":"2026-10-23"}],"climate_tags":["water scarcity","agriculture","tropical cyclone","flood","drought","agroforestry","climate change adaptation","disaster risk reduction","crop yield","reforestation"],"geography_discussed":["Honduras","Nicaragua","Kenya","Niger","Peru","Uganda","Santa Cruz de Barahona"],"frame_perspective":[],"analysis_type":["climate risk assessment","capacity assessment","participatory scenario development","hydrological modelling","crop modelling"]},{"id":"iisd-001275","url":"https://climateinsightsdirectory.org/document/iisd-001275","title":"CLIMATE RISK MANAGEMENT FOR SUSTAINABLE CROP PRODUCTION IN UGANDA: RAKAI AND KAPCHORWA DISTRICTS","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2013-01","source_url":"https://www.iisd.org/system/files/publications/crm_uganda.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines the vulnerability of crop production in Uganda's Rakai and Kapchorwa districts, finding that increasing climate variability—specifically more frequent droughts and intense floods—threatens food security and livelihoods. While crop modelling suggests limited long-term yield declines for maize and beans by 2050, current climate hazards already disrupt farming calendars and reduce coffee quality. The study highlights that high poverty, land tenure issues, and HIV/AIDS exacerbate vulnerability, often leading to maladaptive coping strategies like wetland encroachment. It recommends a holistic approach combining small-scale irrigation, conservation agriculture, stress-resistant crop varieties, and improved meteorological information systems, supported by stronger national governance and coordination.","ai_generated":true,"unit":"iisd-001275#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Uganda is experiencing a rise in temperature and an increase in the frequency and intensity of extreme weather events. Temperatures have risen by 0.37° C per decade since 1960, and while long-term rainfall trends are unclear, floods and landslides are increasing.","ai_generated":true,"unit":"iisd-001275#insight-1","date_modified":"2026-10-23"},{"text":"Climate hazards significantly impact crop production in Rakai and Kapchorwa, leading to total crop failure for maize and beans, and reduced quality and quantity for coffee. Farmers report that they can no longer follow traditional farming calendars due to erratic seasons and irregular rainfall distribution.","ai_generated":true,"unit":"iisd-001275#insight-2","date_modified":"2026-10-23"},{"text":"In Kapchorwa, farmers have observed the emergence of 'fly crops'—coffee flowering outside the normal cycle—which they associate with temperature and rainfall changes. These fly crops produce smaller beans and lower yields, reducing the crop's value.","ai_generated":true,"unit":"iisd-001275#insight-3","date_modified":"2026-10-23"},{"text":"Crop modelling using the Decision Support System for Agrotechnology Transfer (DSSAT) predicts that by 2050, maize production in Sanzara (Kapchorwa) may decrease by 8 to 10 percent and bean production by around 6 percent, whereas impacts in Rakai are expected to be negligible.","ai_generated":true,"unit":"iisd-001275#insight-4","date_modified":"2026-10-23"},{"text":"Investment in water management, specifically irrigation, is identified as a primary method to offset climate change impacts. Modelling indicates that irrigation could increase maize and bean production in Rakai and bean production in Kapchorwa beyond current levels by 2050.","ai_generated":true,"unit":"iisd-001275#insight-5","date_modified":"2026-10-23"},{"text":"Smallholder farmers employ various coping strategies, but some are maladaptive and increase long-term vulnerability. Examples include encroaching on wetlands to plant quick-maturing crops during droughts and illegal deforestation for charcoal and firewood sales.","ai_generated":true,"unit":"iisd-001275#insight-6","date_modified":"2026-10-23"},{"text":"Socio-economic factors significantly amplify climate vulnerability. In Rakai, high HIV/AIDS prevalence (12 percent, nearly double the national average) reduces available agricultural labour and limits the capacity of households to invest in adaptive technologies.","ai_generated":true,"unit":"iisd-001275#insight-7","date_modified":"2026-10-23"},{"text":"Uganda possesses a framework of policies and institutions for climate risk management, including the Climate Change Unit (CCU) and the National Adaptation Programme of Action (NAPA), but these suffer from limited financial and human capacity and poor coordination.","ai_generated":true,"unit":"iisd-001275#insight-8","date_modified":"2026-10-23"},{"text":"There is a critical gap in the availability and dissemination of climate data. Many meteorological stations are non-functional, and national weather information is often provided in English, making it inaccessible to local farmers who rely on eroding indigenous knowledge.","ai_generated":true,"unit":"iisd-001275#insight-9","date_modified":"2026-10-23"}],"climate_tags":["climate risk management","climate change adaptation","smallholder","drought","flood","agroforestry","food security","land tenure","disaster risk reduction"],"geography_discussed":["Karamoja","Lake Victoria","Mount Elgon"],"frame_perspective":[],"analysis_type":["climate risk assessment","vulnerability analysis","crop modelling","policy review"]},{"id":"iisd-002041","url":"https://climateinsightsdirectory.org/document/iisd-002041","title":"Applying the Sustainable Asset Valuation (SAVi) to the 9.5 GW Offshore Wind Farm, North Sea, The Netherlands","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"executive summary","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/savi-wind-farm-netherlands-brochure.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The SAVi analysis demonstrates that while a coal power plant appears more profitable under a Business-as-Usual (BAU) scenario, the offshore wind farm becomes the superior financial option when externalities and climate risks are integrated. Specifically, accounting for externalities reduces the levelized cost of electricity (LCOE) for offshore wind to EUR 65 per MWh compared to EUR 171 per MWh for coal. When physical risks (1.5°C temperature increase) and transitional risks (a carbon tax of EUR 16.27/MWh) are added, the coal plant's internal rate of return (IRR) drops to 0%, while the wind farm maintains an IRR of approximately 17%. The analysis also estimates that the offshore wind project would create 2,780 full-time equivalent jobs.","ai_generated":true,"unit":"iisd-002041#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Under a Business-as-Usual (BAU) scenario that ignores externalities and climate risks, coal is the more profitable technology, featuring a lower levelized cost of electricity (LCOE) of EUR 46.08 per MWh compared to EUR 72.93 per MWh for offshore wind, and a higher internal rate of return (IRR) of 23.43% versus 14.39%.","ai_generated":true,"unit":"iisd-002041#insight-1","date_modified":"2026-10-23"},{"text":"Integrating the value of positive and negative externalities reverses the financial advantage; the LCOE for offshore wind decreases to EUR 65.22 per MWh and its IRR increases to 16.61%, while coal's LCOE increases to EUR 171.08 per MWh and its IRR drops to 3.89%.","ai_generated":true,"unit":"iisd-002041#insight-2","date_modified":"2026-10-23"},{"text":"The inclusion of physical climate risks (a 1.5°C temperature increase) and transitional risks (a carbon tax of EUR 16.27/MWh) further degrades the coal plant's viability, reducing its IRR to 0% and its debt service coverage ratio (DSCR) to 0.16x, while the offshore wind farm remains stable with an IRR of 16.61% and a DSCR of 1.58x.","ai_generated":true,"unit":"iisd-002041#insight-3","date_modified":"2026-10-23"},{"text":"The offshore wind project is estimated to generate 2,780 full-time equivalent jobs and results in significantly lower life-cycle CO2 emissions (19.6 million tonnes) compared to coal (1,661.5 million tonnes).","ai_generated":true,"unit":"iisd-002041#insight-4","date_modified":"2026-10-23"}],"climate_tags":["offshore wind power","coal power","carbon tax","green job","life cycle assessment","carbon dioxide emissions"],"geography_discussed":["IJmuiden"],"frame_perspective":[],"analysis_type":["comparative financial analysis","climate risk assessment","externality valuation"]},{"id":"ucs-000406","url":"https://climateinsightsdirectory.org/document/ucs-000406","title":"Climate Change in the United States","publisher":{"name":"Union of Concerned Scientists","organization":"union-of-concerned-scientists"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.ucs.org/sites/default/files/2019-10/climate-costs-of-inaction.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document argues that the costs of failing to reduce carbon emissions in the United States are prohibitive, citing projected damages to coastal infrastructure, public health, water resources, agriculture, transportation, and energy systems. It highlights that under high-emissions scenarios, the annual economic impact could reach 1.9 percent of GDP by 2100. Specific regional risks include severe sea-level rise in Florida and the Northeast, extreme heat waves in Midwestern cities, water scarcity in the Southwest, and increased wildfire frequency in the West Coast and Rocky Mountain regions. The document advocates for a reduction of carbon emissions by at least 80 percent from 2005 levels by 2050 to avoid the worst consequences.","ai_generated":true,"unit":"ucs-000406#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Under a high-emissions scenario, the annual economic impact of sea-level rise, more severe hurricanes, and increasing water and energy costs in the U.S. could reach 1.4 percent of GDP by 2025 and 1.9 percent by 2100.","ai_generated":true,"unit":"ucs-000406#insight-1","date_modified":"2026-10-23"},{"text":"Sea-level rise poses severe threats to coastal property and infrastructure. In the Northeast, a rise of 13–20 inches by 2100 could threaten insured property valued at $4.7 trillion. In Florida, a high-emissions scenario could result in annual residential real estate losses of $60 billion by 2100, with 70 percent of Miami-Dade County and 99 percent of the state's mangroves becoming vulnerable to year-round flooding by 2060.","ai_generated":true,"unit":"ucs-000406#insight-2","date_modified":"2026-10-23"},{"text":"Extreme heat waves are projected to increase in frequency and intensity. By the end of the century, heat waves that currently occur once every 20 years could occur every other year in much of the U.S., with temperatures approximately 10°F higher. This will disproportionately affect vulnerable populations and increase medical costs, such as a projected $14 billion in heat-related health costs in California by 2100.","ai_generated":true,"unit":"ucs-000406#insight-3","date_modified":"2026-10-23"},{"text":"Climate change will disrupt water resources through increased flooding in the Midwest and Northeast and severe water scarcity in the Southwest. In New Mexico, reduced stream flows could cost farmers $21 million annually by 2080. Additionally, changing water levels in the Great Lakes and Mississippi River systems threaten the viability of bulk commodity shipping, potentially reducing revenues for corn, soybean, and wheat producers by $350 million per year.","ai_generated":true,"unit":"ucs-000406#insight-4","date_modified":"2026-10-23"},{"text":"Agricultural productivity faces significant risks, including a projected 25 percent drop in farmland value in rain-fed areas of the eastern and central U.S. by mid-century and a 69 percent drop by the end of the century under high-emissions scenarios. Specific impacts include a projected 22 percent fall in California milk production by 2100 and the potential loss of cranberry production in Massachusetts and New Jersey by mid-century.","ai_generated":true,"unit":"ucs-000406#insight-5","date_modified":"2026-10-23"},{"text":"Energy infrastructure is vulnerable to both physical damage and increased demand. In the Gulf Coast, which accounts for 30 percent of U.S. crude oil and 20 percent of natural gas production, hurricanes cause significant disruptions. Furthermore, rising temperatures will increase electricity demand for air conditioning, with Florida facing projected annual costs of $19 billion to generate extra power by 2100.","ai_generated":true,"unit":"ucs-000406#insight-6","date_modified":"2026-10-23"},{"text":"Wildfires are expected to become more frequent and costly, particularly in the West Coast and Rocky Mountain regions. By 2080, New Mexico could lose $2.2 billion annually in timber value and fire control costs, while Washington and Oregon could face annual property damage costs of $380 million and $497 million, respectively.","ai_generated":true,"unit":"ucs-000406#insight-7","date_modified":"2026-10-23"}],"climate_tags":["sea level rise","hurricane","extreme heat","public health","water scarcity","flood","agriculture","energy infrastructure","hydropower","wildfire","tourism industry","carbon dioxide emissions","gross domestic product"],"geography_discussed":["New York City","Florida","California","Alaska","New Mexico","Washington","Oregon","Hawaii"],"frame_perspective":[],"analysis_type":["economic impact assessment","climate risk assessment"]}]}